About the role: We’re looking for a

Data Engineer (AI Focus)

to join our Finance team on-site. You’ll design and maintain scalable ETL pipelines, work with large-scale financial datasets, and build analytics-ready data models to power AI/ML/LLM solutions (including RAG and agent-based systems). Working closely with finance and analytics stakeholders, you’ll help evolve our data platform in a friendly, professional team environment.

Job Responsibilities Designing and maintaining ETL processes on Google Cloud (BigQuery, GCS, Dataproc, Airflow) Setting up data integrations with various services Working with large-scale financial and behavioral datasets Contributing to the evolution of our data platform and best practices Building analytics-ready data models for AI / ML / LLM systems Implementing AI solutions in data engineering and analytics (RAG, agents) Collaborating closely with analytics and finance teams

Core stack Google Cloud Platform Strong SQL and Python programming skills Spark for batch data processing and analytics Git, Docker

✨ Required Hard Skills and Education Bachelor’s degree or higher in Physics, Mathematics, Engineering,



or related field 2–4 years of experience as a Data Engineer or Analytics Engineer English B1-B2 is a must-have Solid understanding of data pipelines and data warehousing concepts Experience working with cloud-based data platforms Genuine interest in AI-driven analytics, ML, LLMs, and causal approaches

Nice to have Understanding of ML/feature engineering Hands-on experience with LLM frameworks such as LangChain or PydanticAI, vector databases (e.g. Qdrant) Understanding of RAG (Retrieval-Augmented Generation) architectures Familiarity with embedding models and semantic search concepts Mentoring experience

What we offer: Work with real fintech data and tangible business impact Clear growth path towards AI and advanced analytics with support from senior engineers Modern data stack on Google Cloud Autonomous, low-bureaucracy team culture

Benefits From your first day: Healthy lunches from our catering partners (gluten-free, lactose-free, vegetarian, and vegan options available) Daily fresh fruits, healthy snacks, and a fully stocked kitchen Competitive salary based on experience and skills No dress code policy Free parking space if you are coming by car Adaptable working schedule Career development opportunities based on business needs Team building and two corporate parties a year! 23 paid vacation business days After a probation period: Private health insurance Coverage for up to 50% of your language classes, sports membership, and mental health support

Is this your next opportunity? Apply now and don’t miss it!

📌 Data Engineer (AI focus) (Barcelona)
🏢 Talent
📍 Barcelona